Update on the audio classification algorithm
Dear all, We are proceeding with the algorithm which is going to filter the data to be annotated. It works quite well for goats and young goats. The problem arises with the sneezing sounds which are very similar with background noises. Please see some examples to see how alike these are in the following link https://we.tl/t-CG92O2COLl. It is really difficult even for humans to understand the difference between sneezing and background noise. So we need to think how important the sneezing class is, at least for this stage of the project where we are trying to annotate the available data. If you agree, we can discard sneezing for now and continue with the annotation of the rest interesting classes. And then at a later stage, we can try to improve the sneezing detection if you think it is important. Let us know you opinion on this. We may also set a meeting to talk about this. best regards, Stavros Ntalampiras -- *********************************** Dr.-Eng. Stavros Ntalampiras Associate Professor, Department of Computer science University of Milan, Italy https://sites.google.com/site/stavrosntalampiras/home ***********************************
Dear all,
we think sneezing are very important for goat communication and their meaning is still unknown (so they are interesting from a research point of view). Despite this, we would exclude them for now so as not to slow down the work further, but we intend to include them in the next steps.
Best regards,
Stefania
Il 29/10/21 11:36, Stavros Ntalampiras
Dear all,
We are proceeding with the algorithm which is going to filter the data to be annotated. It works quite well for goats and young goats. The problem arises with the sneezing sounds which are very similar with background noises. Please see some examples to see how alike these are in the following link https://we.tl/t-CG92O2COLl. It is really difficult even for humans to understand the difference between sneezing and background noise.
So we need to think how important the sneezing class is, at least for this stage of the project where we are trying to annotate the available data.
If you agree, we can discard sneezing for now and continue with the annotation of the rest interesting classes. And then at a later stage, we can try to improve the sneezing detection if you think it is important.
Let us know you opinion on this. We may also set a meeting to talk about this.
best regards, Stavros Ntalampiras
--
***********************************
Dr.-Eng. Stavros Ntalampiras
Associate Professor, Department of Computer science
University of Milan, Italy
https://sites.google.com/site/stavrosntalampiras/home
***********************************
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participants (2)
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Stavros Ntalampiras
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Stefania Celozzi